Within the framework of research on erosion phenomena, this internship work aims to deepen the understanding of soil erosion processes through an advanced experimental approach. It is based on improving the current capabilities of the Erosion Function Apparatus (EFA) by integrating multiple measurement instruments and techniques, including Particle Image Velocimetry (PIV), high-speed cameras, and photogrammetry. In parallel, soil characterization tests (water content, particle size distribution, Atterberg limits, etc.) will be carried out to establish a correlation between the geotechnical properties of soils and their erosion behavior. All this data will form a reference experimental database that will later be used to develop a neural network model to accelerate and automate the assessment of soil erosion risk.
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